Business Intelligence Engineer (AI)

TL;DR

Business Intelligence Engineer (AI): Establishing and optimizing the Business Intelligence function from the ground up with an accent on end-to-end data pipeline development and interactive dashboard design. Focus on leveraging AI tools for accelerated development, ensuring data quality, and translating complex business requirements into scalable technical solutions.

Location: Hybrid in Montreal, Canada (required to work from the Montreal office every Thursday).

Company

hirify.global is a company building an AI/ML-based data operating platform that helps multinational companies manage enterprise risk, compliance, and maximize revenue by organizing enterprise data into actionable information.

What you will do

• Design and implement robust, end-to-end data solutions that enable analytics and insight generation.
• Develop and maintain production-quality SQL and Python code for data transformation and automation.
• Champion data quality and reliability, ensuring accuracy, consistency, and trust in core datasets.
• Collaborate with stakeholders to translate complex business requirements into scalable technical solutions.
• Continuously learn and adapt to emerging technologies, tools, and best practices in modern data engineering.

Requirements

• Proven experience building end-to-end data pipelines (ETL/ELT) from multiple sources using Python and modern orchestration frameworks.
• Hands-on experience designing business dashboards that influence decisions, ideally using Looker.
• A track record of success in collaborative, small-team environments, contributing to shared outcomes and cross-functional projects.
• Comfortable with cloud platforms (GCP preferred) and eager to explore AI-assisted development and analytics tools.
• Must work from the Montreal office every Thursday.

Culture & Benefits

• Opportunity to make a significant impact in a scale-up environment.
• Work alongside highly experienced professionals.
• Engineering-driven culture with agile teams.
• Highly competitive cash compensation package.
• Flexible hybrid work schedule with 30 business days of annual leave and additional sick/emergency days.

Hiring process

• Initial screening for salary, location, experience, skills, and values alignment.
• Deep dive into critical technical and behavioral competencies.
• Practical work task simulation activity, presented and discussed with colleagues and managers.
• Meetings with senior leaders.